Practice Introduction - 12.1 | Ethics and Bias in AI | AI Course Fundamental
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Typing
Memory
Math
English Adventures
Knowledge

12.1 - Introduction

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define what ethics means in AI.

💡 Hint: Think about principles that govern behavior.

Question 2

Easy

What does transparency mean in the context of AI?

💡 Hint: Consider how to make information visible.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is a primary concern regarding AI ethics?

  • Efficiency
  • Bias
  • Speed

💡 Hint: Think about fairness in decision-making.

Question 2

True or False: Transparency is unnecessary for trust in AI.

  • True
  • False

💡 Hint: Consider how users would feel without clear information.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

What steps can be implemented to reduce bias in AI training data?

💡 Hint: Think about who is involved in data collection.

Question 2

Analyze a situation where lack of transparency led to mistrust in an AI application.

💡 Hint: Consider real-world reactions to hidden decision-making processes.

Challenge and get performance evaluation